• 한국보육지원학회지
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• 제17권6호
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• pp.109-132
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• 2021

Objective: This study examined the relationships among attention deficits/hyper activities problems(ADHD problems), executive function difficulties, and social capital inside the family, especially with the mediating effect of social capital inside the family, in children from dual-income households. Methods: The participants were 401 children from dual-income households from the eighth wave of the Panel Study on Korean Children. They belonged into lower and higher ADHD problems groups that showed below 25% or more than 75% of ADHD screening items' total score. The data were analyzed by t-test, correlation analysis and mediating effect test by PROCESS macro 3.5.3.. Results: Children's executive function difficulties and social capital inside the family were significantly different between the two lower and higher ADHD problems groups. A mediating effect was found based on the negative relationships between the social capital inside the family including mother's warm childrearing behavior and positive coparenting, and children's executive function difficulties. Children's ADHD problems had a negative influence on each of the two social capital variables and each of the two variables had a negative influence on the executive function difficulties. Conclusion/Implications: These results emphasize the meaningful role of social capital inside the family in the development of first graders with ADHD problems from dual-income households.

• 대한소아치과학회지
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• 제37권4호
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• pp.482-487
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• 2010

주의력결핍-과잉행동장애(Attention Deficit-Hyperactivity Disorder, ADHD)는 학령기 어린이의 가장 흔한 정신장애로 점차 증가하는 추세이다. ADHD 어린이들은 자극에 선택적으로 오래 집중하는 것을 어려워하고, 말이 많거나 허락 없이 자리에서 일어나고 뛰어다니며, 팔과 다리를 끊임없이 움직이는 등 활동 수준이 높다. 또한 충동적인 성향이 있어서 넘어지거나 사고를 당하는 경우도 많다. 이에 치과치료 시 행동조절, 구강위생, 외상 등의 문제를 예상할 수 있는 바, 치과의사의 관심이 증대되어야 할 필요가 있다. 본 증례는 ADHD로 진단받은 만 8세 여아로 약물진정 및 심리적인 행동조절법을 이용해 치과적 주소를 해결해 주었고, 문헌고찰을 통해 다소의 지견을 얻었다.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2000년도 춘계 학술대회논문집
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• pp.1-13
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• 2000

This paper presents a review of the methodology, problems and progress in computational aeroacoustics(CAA). The nature, characteristics, and objectives of aeroacoustics problems are quite different from the commonly encountered CFD problems. In this paper, computational methods that are designed especially for CAA applications are introduced. The potential offered by CAA, the numerical issues which need to be given careful attention, and some of the recent progress in solving aeroacoustic problem are discussed

• 대한수학회보
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• 제51권4호
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• pp.1015-1022
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• 2014

This paper continues the investigation of covers of cyclic acts over monoids. Special attention is paid to (P)-covers and strongly flat covers of cyclic acts. In 2008 Mahmoudi and Renshaw posed some open problems and we gave some examples on them in 2012. In this paper, we obtained some further results on these problems and hence gave some deeper answers to them.

• 대한수학회보
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• 제55권1호
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• pp.149-163
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• 2018

In recent years, the study of slice Dirac operators has attracted more and more attention in the literature. In this paper, Almansitype decompositions for null solutions to the iterated slice Dirac operator and the generalized slice Dirac operator are obtained without a star-like domain centered at the origin. As applications, we investigate Riquier type problems and Dirichlet type problems in the theory of slice monogenic functions.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2000년도 봄 학술세미나 논문집
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• pp.78-87
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• 2000

Enormous instruments have been installed to measure movement and stresses during and after the construction of Seoul Subway. However, a number of problems have been noticed and reported, such as planning, calibration, installation, contract procedure etc. Some of them are presented and discussed in this paper in order to call an attention to these problems and provide a baseline for the future improvement.

• 아동학회지
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• 제23권5호
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• pp.167-182
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• 2002

The effectiveness of behavior group counseling using the games of children with Attention Deficit Hyperactivity Disorder(ADHD) was studied with 24 primary school children (12 each in the experimental and in the control groups). The subjects were selected on the basis of the Abbreviated Conners Teacher Rating Scale-Revised. The counseling program consisted of 12 sessions over a 6-week period. Effectiveness of the training was evaluated with the Conners Teacher Rating Scale-Revised, the ADHD teacher's rating scale, and the Korea-Child Behavior Checklist. Findings were that the group receiving counseling exhibited improved attention, social relationships, and self control. They also exhibited decreased carelessness-passivity, hyperactivity, hostility and fewer behavior problems.

• 한국IT서비스학회지
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• 제17권2호
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• pp.165-177
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• 2018

Recently, online commerces are becoming more common due to factors such as mobile technology development and smart device dissemination, and online review has a big influence on potential buyer's purchase decision. This study presents a set of analytical methodologies for understanding the meaning of customer reviews of products in online transaction. Using techniques currently developed in deep learning are implemented Hierarchical Attention Network for analyze meaning in online reviews. By using these techniques, we could solve time consuming pre-data analysis time problem and multiple topic problems. To this end, this study analyzes customer reviews of laptops sold in domestic online shopping malls. Our result successfully demonstrates over 90% classification accuracy. Therefore, this study classified the unstructured text data in the semantic analysis and confirmed the practical application possibility of the review analysis process.

• 한국군사과학기술학회지
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• 제25권4호
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• pp.381-389
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• 2022

Detecting partially occluded objects is difficult due to the appearances and shapes of occluders are highly variable. These variabilities lead to challenges of localizing accurate bounding box or classifying objects with visible object parts. To address these problems, we propose a two-stage part-based attention approach for robust object detection under partial occlusion. First, our part attention network(PAN) captures the important object parts and then it is used to generate weighted object features. Based on the weighted features, the re-weighted object features are produced by our reinforced PAN(RPAN). Experiments are performed on our collected military vehicle dataset and synthetic occlusion dataset. Our method outperforms the baselines and demonstrates the robustness of detecting objects under partial occlusion.

• 스마트미디어저널
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• 제12권9호
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• pp.45-59
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• 2023

Weakly supervised object localization (WSOL) is a task of localizing an object in an image using only image-level labels. Previous studies have followed the conventional class activation mapping (CAM) pipeline. However, we reveal the current CAM approach suffers from problems which cause original CAM could not capture the complete defects features. This work utilizes a convolutional neural network (CNN) pretrained on image-level labels to generate class activation maps in a multi-scale manner to highlight discriminative regions. Additionally, a vision transformer (ViT) pretrained was treated to produce multi-head attention maps as an auxiliary detector. By integrating the CNN-based CAMs and attention maps, our approach localizes defective regions without requiring bounding box or pixel-level supervision during training. We evaluate our approach on a dataset of apple images with only image-level labels of defect categories. Experiments demonstrate our proposed method aligns with several Object Detection models performance, hold a promise for improving localization.